Introduction To R In Ibm Spss Modeler

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Introduction To R In Ibm Spss Modeler

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Author : Wannes Rosius
language : en
Publisher: IBM Redbooks
Release Date : 2016-10-14

Introduction To R In Ibm Spss Modeler written by Wannes Rosius and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Computers categories.

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls.

Data Mining With Spss Modeler

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Author : Tilo Wendler
language : en
Publisher: Springer Nature
Release Date : 2021-05-24

Data Mining With Spss Modeler written by Tilo Wendler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-24 with Computers categories.

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.

Our Experience Converting An Ibm Forecasting Solution From R To Ibm Spss Modeler

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Author : Pitipong JS Lin
language : en
Publisher: IBM Redbooks
Release Date : 2015-03-06

Our Experience Converting An Ibm Forecasting Solution From R To Ibm Spss Modeler written by Pitipong JS Lin and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-06 with Computers categories.

This IBM® RedpaperTM publication presents the process and steps that were taken to move from an R language forecasting solution to an IBM SPSS® Modeler solution. The paper identifies the key challenges that the team faced and the lessons they learned. It describes the journey from analysis through design to key actions that were taken during development to make the conversion successful. The solution approach is described in detail so that you can learn how the team broke the original R solution architecture into logical components in order to plan for the conversion project. You see key aspects of the conversion from R to IBM SPSS Modeler and how basic parts, such as data preparation, verification, pre-screening, and automating data quality checks, are accomplished. The paper consists of three chapters: Chapter 1 introduces the business background and the problem domain. Chapter 2 explains critical technical challenges that the team confronted and solved. Chapter 3 focuses on lessons that were learned during this process and ideas that might apply to your conversion project. This paper applies to various audiences: Decision makers and IT Architects who focus on the architecture, roadmap, software platform, and total cost of ownership. Solution development team members who are involved in creating statistical/analytics-based solutions and who are familiar with R and IBM SPSS Modeler.

Informs Analytics Body Of Knowledge

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Author : James J. Cochran
language : en
Publisher: John Wiley & Sons
Release Date : 2018-09-21

Informs Analytics Body Of Knowledge written by James J. Cochran and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with Mathematics categories.

Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.

Introduction To Biomedical Data Science

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Author : Robert Hoyt
language : en
Publisher: Lulu.com
Release Date : 2019-11-24

Introduction To Biomedical Data Science written by Robert Hoyt and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-24 with Science categories.

Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.

Advancing Quantitative Methods In Second Language Research

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Author : Luke Plonsky
language : en
Publisher: Routledge
Release Date : 2015-07-03

Advancing Quantitative Methods In Second Language Research written by Luke Plonsky and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-03 with Language Arts & Disciplines categories.

Advancing Quantitative Methods in Second Language Research is the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation, Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies. For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html

Ibm Predictive Maintenance And Quality 2 0 Technical Overview

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Author : Vrunda Negandhi
language : en
Publisher: IBM Redbooks
Release Date : 2015-06-29

Ibm Predictive Maintenance And Quality 2 0 Technical Overview written by Vrunda Negandhi and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Computers categories.

This IBM® RedpaperTM publication updated technical overview provides essential details about the data processing steps, message flows, and analytical models that power IBM Predictive Maintenance and Quality (PMQ) Version 2.0. The new version of PMQ builds on the first one, released in 2013, to help companies efficiently monitor and maintain production assets and improve their overall availability, utilization, and performance. It analyzes various types of data to detect failure patterns and poor quality parts earlier than traditional quality control methods, with the goal of reducing unscheduled asset downtime and improving quality metrics. Version 2.0 includes an improved method of interacting with the solution's analytic data store using an API from the new Analytics Solution Foundation, a reusable, configurable, and extensible component that supports a number of the solution's analytic functions. The new version also changes the calculation of profiles and KPIs, which is now done using orchestrations that are defined in XML. This updated technical overview provides details about these new orchestration definitions.

Applying The Rasch Model In Social Sciences Using R

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Author : Iasonas Lamprianou
language : en
Publisher: Routledge
Release Date : 2019-12-12

Applying The Rasch Model In Social Sciences Using R written by Iasonas Lamprianou and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Psychology categories.

This unique text provides a step-by-step beginner’s guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like. Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research.

Smart And Secure Embedded And Mobile Systems

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Author : Jorge Marx Gómez
language : en
Publisher: Springer Nature
Release Date : 2024-06-29

Smart And Secure Embedded And Mobile Systems written by Jorge Marx Gómez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-29 with Computers categories.

This book gathers a selection of research papers that delve into the field of smart systems, covering a wide range of applications in transportation, agriculture, healthcare, energy management, and more. Emphasizing the fusion of intelligence and security, they reveal how advanced embedded and mobile systems are paving the way for a smarter and safer future. The book presents peer-reviewed research articles from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24th – 25th, 2022, in Arusha, Tanzania. The book showcases the remarkable potential of advanced technologies in shaping a smarter and more secure world, addressing topics such as transportation and mobility solutions, smart manufacturing and agriculture, ICT infrastructure and resource management, healthcare and energy management, system integration and control, and solutions for innovation and monitoring.

Spss Data Analysis For Univariate Bivariate And Multivariate Statistics

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Author : Daniel J. Denis
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-31

Spss Data Analysis For Univariate Bivariate And Multivariate Statistics written by Daniel J. Denis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Mathematics categories.

Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.